Connect to JSON Services from Filemaker Pro (Mac)

FileMaker Pro is a cross-platform relational database application that allows users to visually modify a database. When paired with CData Connect AI, FileMaker Pro gets access to live JSON services. This article demonstrates how to connect to JSON using Connect AI and query JSON services in FileMaker Pro.

CData Connect AI provides a pure SQL Server interface for JSON, allowing you to query data from JSON without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc.) directly to JSON, leveraging server-side processing to return the requested JSON services quickly.

Configure JSON Connectivity for FileMaker Pro

Connectivity to JSON from FileMaker Pro is made possible through CData Connect AI. To work with JSON services from FileMaker Pro, we start by creating and configuring a JSON connection.

1. Log into Connect AI, click Sources, and then click Add Connection

2. Select "JSON" from the Add Connection panel

3. Enter the necessary authentication properties to connect to JSON.

   See the Getting Started chapter in the data provider documentation to authenticate to your data source: The data provider models JSON APIs as bidirectional database tables and JSON files as read-only views (local files, files stored on popular cloud services, and FTP servers). The major authentication schemes are supported, including HTTP Basic, Digest, NTLM, OAuth, and FTP. See the Getting Started chapter in the data provider documentation for authentication guides.

   After setting the URI and providing any authentication values, set DataModel to more closely match the data representation to the structure of your data.

   The DataModel property is the controlling property over how your data is represented into tables and toggles the following basic configurations.

   • Document (default): Model a top-level, document view of your JSON data. The data provider returns nested elements as aggregates of data.
   • FlattenedDocuments: Implicitly join nested documents and their parents into a single table.
   • Relational: Return individual, related tables from hierarchical data. The tables contain a primary key and a foreign key that links to the parent document.

   See the Modeling JSON Data chapter for more information on configuring the relational representation. You will also find the sample data used in the following examples. The data includes entries for people, the cars they own, and various maintenance services performed on those cars.

   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add JSON Connection page and update the User-based permissions.

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
2. On the Settings page, go to the Access Tokens section and click Create PAT.
3. Give the PAT a name and click Create.
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to JSON services from Filemaker Pro.

Connect to JSON from FileMaker Pro using Connect AI

To establish a connection from FileMaker Pro to the CData Connect AI Virtual SQL Server API, follow these steps.

Configure the ODBC Connection to CData Connect AI

1. Download and install the Actual ODBC Driver for SQL Server (actualtech.com)
2. Configure a DSN for the Actual ODBC driver by setting the following properties:
   • URL: tds.cdata.com
   • Port: Change the port from 1433 to 14333
   • Username: Your Connect AI email address
   • Password: the PAT you created earlier

Query JSON from FileMaker Pro

1. In the SQL Query Builder "SELECT" tab, select the columns to include as part of the query.
2. Open the "WHERE" tab of the SQL Query Builder and select "Show only selected columns."
3. In "Table.Column,"" select a table and a column name.
4. Set the "Operator" to =.
5. Select "Column," and then select the same table and column name as "Table.Column."
6. Click "Insert into SQL Query."
7. If no other modifications to the SQL query are required, click "Execute."

Get CData Connect AI

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